How to Write a Research Question: Types and Examples
The first step in any research project is framing the research question. It can be considered the core of any systematic investigation as the research outcomes are tied to asking the right questions. Thus, this primary interrogation point sets the pace for your research as it helps collect relevant and insightful information that ultimately influences your work.
Typically, the research question guides the stages of inquiry, analysis, and reporting. Depending on the use of quantifiable or quantitative data, research questions are broadly categorized into quantitative or qualitative research questions. Both types of research questions can be used independently or together, considering the overall focus and objectives of your research.
What is a research question?
A research question is a clear, focused, concise, and arguable question on which your research and writing are centered. 1 It states various aspects of the study, including the population and variables to be studied and the problem the study addresses. These questions also set the boundaries of the study, ensuring cohesion.
Designing the research question is a dynamic process where the researcher can change or refine the research question as they review related literature and develop a framework for the study. Depending on the scale of your research, the study can include single or multiple research questions.
A good research question has the following features:
- It is relevant to the chosen field of study.
- The question posed is arguable and open for debate, requiring synthesizing and analysis of ideas.
- It is focused and concisely framed.
- A feasible solution is possible within the given practical constraint and timeframe.
A poorly formulated research question poses several risks. 1
- Researchers can adopt an erroneous design.
- It can create confusion and hinder the thought process, including developing a clear protocol.
- It can jeopardize publication efforts.
- It causes difficulty in determining the relevance of the study findings.
- It causes difficulty in whether the study fulfils the inclusion criteria for systematic review and meta-analysis. This creates challenges in determining whether additional studies or data collection is needed to answer the question.
- Readers may fail to understand the objective of the study. This reduces the likelihood of the study being cited by others.
Now that you know “What is a research question?”, let’s look at the different types of research questions.
Types of research questions
Depending on the type of research to be done, research questions can be classified broadly into quantitative, qualitative, or mixed-methods studies. Knowing the type of research helps determine the best type of research question that reflects the direction and epistemological underpinnings of your research.
The structure and wording of quantitative 2 and qualitative research 3 questions differ significantly. The quantitative study looks at causal relationships, whereas the qualitative study aims at exploring a phenomenon.
- Quantitative research questions:
- Seeks to investigate social, familial, or educational experiences or processes in a particular context and/or location.
- Answers ‘how,’ ‘what,’ or ‘why’ questions.
- Investigates connections, relations, or comparisons between independent and dependent variables.
Quantitative research questions can be further categorized into descriptive, comparative, and relationship, as explained in the Table below.
- Qualitative research questions
Qualitative research questions are adaptable, non-directional, and more flexible. It concerns broad areas of research or more specific areas of study to discover, explain, or explore a phenomenon. These are further classified as follows:
- Mixed-methods studies
Mixed-methods studies use both quantitative and qualitative research questions to answer your research question. Mixed methods provide a complete picture than standalone quantitative or qualitative research, as it integrates the benefits of both methods. Mixed methods research is often used in multidisciplinary settings and complex situational or societal research, especially in the behavioral, health, and social science fields.
What makes a good research question
A good research question should be clear and focused to guide your research. It should synthesize multiple sources to present your unique argument, and should ideally be something that you are interested in. But avoid questions that can be answered in a few factual statements. The following are the main attributes of a good research question.
- Specific: The research question should not be a fishing expedition performed in the hopes that some new information will be found that will benefit the researcher. The central research question should work with your research problem to keep your work focused. If using multiple questions, they should all tie back to the central aim.
- Measurable: The research question must be answerable using quantitative and/or qualitative data or from scholarly sources to develop your research question. If such data is impossible to access, it is better to rethink your question.
- Attainable: Ensure you have enough time and resources to do all research required to answer your question. If it seems you will not be able to gain access to the data you need, consider narrowing down your question to be more specific.
- You have the expertise
- You have the equipment and resources
- Realistic: Developing your research question should be based on initial reading about your topic. It should focus on addressing a problem or gap in the existing knowledge in your field or discipline.
- Based on some sort of rational physics
- Can be done in a reasonable time frame
- Timely: The research question should contribute to an existing and current debate in your field or in society at large. It should produce knowledge that future researchers or practitioners can later build on.
- Novel
- Based on current technologies.
- Important to answer current problems or concerns.
- Lead to new directions.
- Important: Your question should have some aspect of originality. Incremental research is as important as exploring disruptive technologies. For example, you can focus on a specific location or explore a new angle.
- Meaningful whether the answer is “Yes” or “No.” Closed-ended, yes/no questions are too simple to work as good research questions. Such questions do not provide enough scope for robust investigation and discussion. A good research question requires original data, synthesis of multiple sources, and original interpretation and argumentation before providing an answer.
Steps for developing a good research question
The importance of research questions cannot be understated. When drafting a research question, use the following frameworks to guide the components of your question to ease the process. 4
- Determine the requirements: Before constructing a good research question, set your research requirements. What is the purpose? Is it descriptive, comparative, or explorative research? Determining the research aim will help you choose the most appropriate topic and word your question appropriately.
- Select a broad research topic: Identify a broader subject area of interest that requires investigation. Techniques such as brainstorming or concept mapping can help identify relevant connections and themes within a broad research topic. For example, how to learn and help students learn.
- Perform preliminary investigation: Preliminary research is needed to obtain up-to-date and relevant knowledge on your topic. It also helps identify issues currently being discussed from which information gaps can be identified.
- Narrow your focus: Narrow the scope and focus of your research to a specific niche. This involves focusing on gaps in existing knowledge or recent literature or extending or complementing the findings of existing literature. Another approach involves constructing strong research questions that challenge your views or knowledge of the area of study (Example: Is learning consistent with the existing learning theory and research).
- Identify the research problem: Once the research question has been framed, one should evaluate it. This is to realize the importance of the research questions and if there is a need for more revising (Example: How do your beliefs on learning theory and research impact your instructional practices).
How to write a research question
Those struggling to understand how to write a research question, these simple steps can help you simplify the process of writing a research question.
Sample Research Questions
The following are some bad and good research question examples
- Example 1
- Example 2
References:
- Thabane, L., Thomas, T., Ye, C., & Paul, J. (2009). Posing the research question: not so simple. Canadian Journal of Anesthesia/Journal canadien d’anesthésie , 56 (1), 71-79.
- Rutberg, S., & Bouikidis, C. D. (2018). Focusing on the fundamentals: A simplistic differentiation between qualitative and quantitative research. Nephrology Nursing Journal , 45 (2), 209-213.
- Kyngäs, H. (2020). Qualitative research and content analysis. The application of content analysis in nursing science research , 3-11.
- Mattick, K., Johnston, J., & de la Croix, A. (2018). How to… write a good research question. The clinical teacher , 15 (2), 104-108.
- Fandino, W. (2019). Formulating a good research question: Pearls and pitfalls. Indian Journal of Anaesthesia , 63 (8), 611.
- Richardson, W. S., Wilson, M. C., Nishikawa, J., & Hayward, R. S. (1995). The well-built clinical question: a key to evidence-based decisions. ACP journal club , 123 (3), A12-A13
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Research Methods Knowledge Base
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- Construct Validity
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- Types of Surveys
- Selecting the Survey Method
Types of Survey Questions
- Question Content
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Survey questions can be divided into two broad types: structured and unstructured . From an instrument design point of view, the structured questions pose the greater difficulties (see Decisions About the Response Format ). From a content perspective, it may actually be more difficult to write good unstructured questions. Here, I’ll discuss the variety of structured questions you can consider for your survey (we’ll discuss unstructured questioning more under Interviews ).
Dichotomous Questions
When a question has two possible responses, we consider it dichotomous . Surveys often use dichotomous questions that ask for a Yes/No, True/False or Agree/Disagree response. There are a variety of ways to lay these questions out on a questionnaire:
Questions Based on Level Of Measurement
We can also classify questions in terms of their level of measurement . For instance, we might measure occupation using a nominal question. Here, the number next to each response has no meaning except as a placeholder for that response. The choice of a “2” for a lawyer and a “1” for a truck driver is arbitrary – from the numbering system used we can’t infer that a lawyer is “twice” something that a truck driver is.
We might ask respondents to rank order their preferences for presidential candidates using an ordinal question:
We want the respondent to put a 1, 2, 3 or 4 next to the candidate, where 1 is the respondent’s first choice. Note that this could get confusing. We might want to state the prompt more explicitly so the respondent knows we want a number from one to 4 (the respondent might check their favorite candidate, or assign higher numbers to candidates they prefer more instead of understanding that we want rank ordering).
We can also construct survey questions that attempt to measure on an interval level. One of the most common of these types is the traditional 1-to-5 rating (or 1-to-7, or 1-to-9, etc.). This is sometimes referred to as a Likert response scale (see Likert Scaling) . Here, we see how we might ask an opinion question on a 1-to-5 bipolar scale (it’s called bipolar because there is a neutral point and the two ends of the scale are at opposite positions of the opinion):
Another interval question uses an approach called the semantic differential . Here, an object is assessed by the respondent on a set of bipolar adjective pairs (using 5-point rating scale):
Finally, we can also get at interval measures by using what is called a cumulative or Guttman scale (see Guttman Scaling ). Here, the respondent checks each item with which they agree. The items themselves are constructed so that they are cumulative – if you agree to one, you probably agree to all of the ones above it in the list:
Filter or Contingency Questions
Sometimes you have to ask the respondent one question in order to determine if they are qualified or experienced enough to answer a subsequent one. This requires using a filter or contingency question . For instance, you may want to ask one question if the respondent has ever smoked marijuana and a different question if they have not. in this case, you would have to construct a filter question to determine whether they’ve ever smoked marijuana:
Filter questions can get very complex. Sometimes, you have to have multiple filter questions in order to direct your respondents to the correct subsequent questions. There are a few conventions you should keep in mind when using filters:
- Try to avoid having more than three levels (two jumps) for any question. Too many jumps will confuse the respondent and may discourage them from continuing with the survey.
- If only two levels, use graphic to jump (e.g. arrow and box). The example above shows how you can make effective use of an arrow and box to help direct the respondent to the correct subsequent question.
- If possible, jump to a new page. If you can’t fit the response to a filter on a single page, it’s probably best to be able to say something like “If YES, please turn to page 4” rather that “If YES, please go to Question 38” because the respondent will generally have an easier time finding a page than a specific question.
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You can follow these steps to develop a strong research question: 1. Choose your topic 2. Do some preliminary readingabout the current state of the field 3. Narrow your focus to a specific niche 4. Identify t…
Explanation: A simple “yes” or “no” statement easily answers the first research question. The second research question is more complicated and requires the researcher to collect data, perform in-depth data analysis, and …
Yes-or-no questions force you to be precise with your wording, focusing on the essential aspects of your research topic. This ensures respondents stay on track and answer the core questions …
A research question is a question that a study or research project, through its thesis statement, aims to answer. This question often addresses an issue or a problem, which, through analysis and interpretation of data, is …
Research questions should not be answerable with a simple “yes” or “no” or by easily-found facts. They should, instead, require both research and analysis on the part of the …
Oct 30, 2022 · The first question is too simple: it can be answered with a simple yes or no. The second question is more complex , requiring in-depth investigation and the …
Surveys often use dichotomous questions that ask for a Yes/No, True/False or Agree/Disagree response. There are a variety of ways to lay these questions out on a questionnaire: Questions Based on Level Of Measurement. We can also …